I Reran My Python 3.14 JIT Benchmarks on Python 3.15
The same three workloads show a much stronger JIT, but it still doesn't help every program
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Jev Your Engines: Seven Open Decision Models vs. a Generative LLM
A hands-on Jev repo comparison of routing accuracy, latency, and output reliability
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What OpenAI’s 719 Math Papers Mean for Data Science
Matching messy text, choosing representative examples, and generating comparison data.
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How Do Word Embeddings Capture Relationships Between Words?
Understanding how words become related in a learned vector space
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Voting on Features: Federated Feature Selection Without Sharing Data
Hospitals, banks, and edge devices can agree on which features matter by sharing votes instead of rows, runnable in NVIDIA FLARE and Flower
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Three Samplers, One Posterior: NUTS vs. Emcee vs. Nested Sampling
Benchmarking NumPyro, affine-invariant MCMC, and dynesty against exact ground truth and watching them fail.
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A practical guide to strengthening churn, CLV, and other traditional models with text
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Agentic Systems: A Practitioner's Guide to 6 Advanced Architectural Patterns
Beyond basic ReAct loops: six production-oriented architectures for building autonomous, reliable, and scalable LLM agents.
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A one-line formula for how often an LLM's top token flips, and why identical
completions fall apart after about a hundred tokens
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Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python
When machines learn by themselves
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The Consistency Quadrant: A Visual Guide to LLM Reliability
Mapping structural variance against execution outputs to estimate coding agent reliability without ground truth.
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When Do PINNs Beat Classical Numerical Methods? A 1D vs 5D Experiment
I put a physics-informed neural network up against a plain finite-difference solver twice: once in 1D and once in 5D. The winner changed.
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A Google Team Measured Half of My Argument, and Left the Other Half Open
Towards Spec-Driven Test Automation: Part 3
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How to Make a Cloud Read a Drone's Mind (and Cut Data Usage by 94%)
Two copies of one small AI model keep a remote machine in sync with the cloud, with no constant streaming. A beginner-friendly world model tutorial in PyTorch.
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Elegant object matching from several viewpoints
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How to Build a Cheap, Yet Reliable Model Router With Jev
Model routing can finally be a design choice rather than a system enhancement
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The Reversal Curse: Why a Language Model That Knows “A Is B” Can’t Tell You “B Is A”
A model can recall a fact in the direction it learned it and fail in the other. Here's a toy version of why
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How to Use a PINN for a Navier-Stokes Inverse Problem
A from-scratch PyTorch build that recovers blood flow, viscosity, and wall shear stress in a narrowed artery from 40 noisy velocity readings
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Autoencoders vs. PCA: I Rigged the Test and PCA Still Won
A theoretical advantage that didn't survive contact with a real benchmark.
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